Points by season
Career NHL points, ending with the 84-game projection (violet).
Pool value
Projected full-season fantasy worth.
why 34?
Each row is one fantasy category turned into points over a full 84-game season. Add the rows up and that is his total fantasy worth.
- proj goals2 × 3+6
- proj assists19 × 1+19
- PP points5 × 0.5+2.5
- game-winning goals0 × 0.5+0
- OT goals0 × 0.25+0
- shots93 × 0.1+9.3
- PIM37 × 0.05+1.9
- ice time (min)1774 × 0.01+17.7
- total56 pool points · an elite defenseman season scores 16656 = 34/100
Weights follow what the average fantasy league actually counts: goals at 3× assists (the universal core), power-play points and game-winners at half weight (common extra categories), OT goals, shots and PIM small (many leagues skip them), and ice time as a quiet availability bonus. The scale: add up a whole season of those categories and compare against the best defensemen in the NHL — an elite season scores about 166 points, and that is what 100 means. So 56 points is 34 out of a perfect fantasy season at his position. Defensemen and forwards are graded on separate scales because the D slot can only be filled by a defenseman. Goals and assists come from the backtested season model; the rest ride your own season-to-date pace over 84 games (18 games so far — small sample, secondary lines will move as roles settle). Hits/blocks are excluded: the free NHL feeds don't publish full-season totals, and we don't invent them.
The Situation
- Cold window: 0.0 pts/10 over the last 6 vs 5.0/10 baseline — pace has fallen off.
- Every night: in the lineup for all of the team's last 10 games.
- Availability: every game this season — 14 of 14 for STL.
Every line is measured from our own boxscore ledger; absence reasons from the NHL Status Report and our transaction wire only — no insider guessing.
Finishing check underperforming O/U ▼ −1.5
- TRADE VALUE: BELOW PACE — mildly. Cheap production relative to the underlying play.
- 0.0% shooting on 20 shots against HIS OWN career baseline of 6.5% (1053 shots before this season) — that's 1.3 goals below what his shot volume normally buys for him (1.3 expected goals). under pace. His shrunk talent rate is 4.9%, worth PD −1.5 goals per 84 over/under his own standard.
Model: goals vs shot volume vs live league position baselines; talent SH% is an empirical-Bayes shrinkage of the season…
His shooting talent is estimated by shrinking his season shooting percentage toward his league position mean in proportion to sample size (kappa pseudo-shots prior), then projecting the gap over 84 games at his current shot volume. Small samples stay near zero — the number only moves when the evidence does.
The method follows published hockey-analytics research: a shooter is judged against his own career shooting percentage, because a player's own career rate predicts his next goals better than any league average (“Expected by Whom? A Skill-Adjusted Expected Goals Model for NHL Shooters and Goaltenders,” arXiv:2511.07703). Thin careers (rookies) shrink toward the league mean for the position, and the season number is shrunk toward the player's own anchor with empirical-Bayes weights — Nandakumar & Jensen (2019), Annual Review of Statistics and Its Application, doi:10.1146/annurev-statistics-030718-105202. This section is about the gap between luck and his pace, not talent.
Season stats
NHL regular-season totals, season by season. The 84-G proj line extends the current season with our public model — methodology in the caption below the table.
| Season | Team | GP | G | A | P | +/- | PIM | PPG | PPP | SHG | TOI/GP | GWG | OTG | S | S% | FOW% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Ducks | 76 | 10 | 30 | 40 | -25 | 20 | 6 | 23 | 0 | 22:08 | 3 | 2 | 123 | 8.1% | 0.0% |
| 2011-12 | Ducks | 82 | 5 | 24 | 29 | -28 | 18 | 2 | 11 | 0 | 23:16 | 0 | 0 | 123 | 4.1% | 100.0% |
| 2012-13 | Ducks | 37 | 1 | 10 | 11 | -4 | 4 | 1 | 6 | 0 | 20:26 | 0 | 0 | 50 | 2.0% | 0.0% |
| 2013-14 | Ducks | 70 | 6 | 30 | 36 | 15 | 14 | 4 | 15 | 1 | 23:52 | 2 | 0 | 100 | 6.0% | 0.0% |
| 2014-15 | Ducks | 80 | 7 | 27 | 34 | 4 | 14 | 1 | 9 | 1 | 21:09 | 2 | 1 | 87 | 8.1% | 0.0% |
| 2015-16 | Ducks | 69 | 5 | 23 | 28 | -8 | 27 | 3 | 17 | 0 | 22:47 | 0 | 0 | 113 | 4.4% | 0.0% |
| 2016-17 | Ducks | 80 | 11 | 28 | 39 | 7 | 20 | 5 | 15 | 1 | 24:51 | 3 | 0 | 186 | 5.9% | 0.0% |
| 2017-18 | Ducks | 67 | 8 | 24 | 32 | 3 | 28 | 1 | 10 | 1 | 24:51 | 1 | 0 | 122 | 6.6% | 50.0% |
| 2018-19 | Ducks | 59 | 5 | 18 | 23 | -14 | 20 | 1 | 6 | 0 | 23:22 | 2 | 1 | 88 | 5.7% | 0.0% |
| 2019-20 | Ducks | 59 | 9 | 20 | 29 | 0 | 20 | 2 | 8 | 0 | 21:59 | 2 | 0 | 117 | 7.7% | 0.0% |
| 2020-21 | Ducks | 56 | 5 | 18 | 23 | -4 | 18 | 0 | 4 | 0 | 21:46 | 1 | 0 | 75 | 6.7% | 0.0% |
| 2021-22 | Ducks | 76 | 9 | 33 | 42 | -9 | 14 | 6 | 18 | 0 | 24:25 | 1 | 0 | 124 | 7.3% | 0.0% |
| 2022-23 | Ducks | 82 | 10 | 38 | 48 | -23 | 14 | 4 | 14 | 0 | 24:10 | 1 | 0 | 130 | 7.7% | 0.0% |
| 2023-24 | Ducks | 81 | 5 | 34 | 39 | -36 | 24 | 2 | 18 | 0 | 24:25 | 0 | 0 | 109 | 4.6% | 0.0% |
| 2024-25 | Ducks | 17 | 0 | 4 | 4 | -7 | 6 | 0 | 0 | 0 | 21:04 | 0 | 0 | 17 | 0.0% | 0.0% |
| 2024-25 | Blues | 51 | 9 | 27 | 36 | 19 | 8 | 2 | 8 | 0 | 21:42 | 1 | 1 | 71 | 12.7% | 0.0% |
| 2025-26 | Blues | 82 | 4 | 26 | 30 | -11 | 14 | 1 | 9 | 0 | 21:05 | 1 | 0 | 91 | 4.4% | 0.0% |
| 2026-27 | Blues | 19 | 0 | 4 | 4 | -8 | 10 | 0 | 1 | 0 | 21:00 | 0 | 0 | 21 | 0.0% | 0.0% |
| 84-G proj | Blues | 84 | 2 | 19 | 22 | — | 42 | — | 7 | — | 20:18 | — | — | 98 | — | — |
84-G proj — current pace blended with the player's own history (recent seasons weighted heaviest), mixed with a similarity projection from historical players with comparable profiles, then adjusted for the aging curve (league-average peak at 27; decline after) — at age 34 that is -5%. Dashes mark stats the model doesn't project.
Comparable player-seasons: Jonas Brodin (2025-25) · Neal Pionk (2025-25) · Jaccob Slavin (2025-25) · Samuel Girard (2025-25) · Olli Maatta (2025-25).
Line mates
Teammates sharing the most ice time with Cam over the last 10 games — reconstructed shift-by-shift from the NHL's official timing feed (goalies excluded).
| Player | Shared min | GP | |
|---|---|---|---|
| Brandon Carlo STL | 74 | 10 | |
| Robert Thomas STL | 69 | 10 | |
| Dylan Holloway STL | 65 | 10 | |
| Pavel Buchnevich STL | 61 | 9 | |
| Connor McMichael STL | 58 | 10 |
Data via the public NHL API · 2026 Pro Hockey Stats